---
library_name: transformers
license: apache-2.0
base_model: nickprock/setfit-italian-hate-speech
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: MultiPRIDE-DualEncoder-LPFT-it
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# MultiPRIDE-DualEncoder-LPFT-it

This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0258
- Accuracy: 0.9202
- F1: 0.8060
- Precision: 0.75
- Recall: 0.8710

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.1876        | 1.0   | 95   | 0.1464          | 0.8037   | 0.3043 | 0.4667    | 0.2258 |
| 0.1365        | 2.0   | 190  | 0.1072          | 0.8773   | 0.6667 | 0.6897    | 0.6452 |
| 0.112         | 3.0   | 285  | 0.0677          | 0.8957   | 0.7302 | 0.7188    | 0.7419 |
| 0.0535        | 4.0   | 380  | 0.0465          | 0.9141   | 0.7742 | 0.7742    | 0.7742 |
| 0.036         | 5.0   | 475  | 0.0335          | 0.8957   | 0.7385 | 0.7059    | 0.7742 |
| 0.0322        | 6.0   | 570  | 0.0299          | 0.9141   | 0.7879 | 0.7429    | 0.8387 |
| 0.0239        | 7.0   | 665  | 0.0274          | 0.9202   | 0.8060 | 0.75      | 0.8710 |
| 0.0275        | 8.0   | 760  | 0.0263          | 0.9202   | 0.8060 | 0.75      | 0.8710 |
| 0.0289        | 9.0   | 855  | 0.0259          | 0.9202   | 0.8060 | 0.75      | 0.8710 |
| 0.0206        | 10.0  | 950  | 0.0258          | 0.9202   | 0.8060 | 0.75      | 0.8710 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1